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Self-Supervised Scalable Deep Compressed Sensing

Self-Supervised Scalable Deep Compressed Sensing

26 August 2023
Bin Chen
Xuanyu Zhang
Shuai Liu
Yongbing Zhang
Jian Andrew Zhang
ArXivPDFHTML

Papers citing "Self-Supervised Scalable Deep Compressed Sensing"

9 / 9 papers shown
Title
Sampling Innovation-Based Adaptive Compressive Sensing
Sampling Innovation-Based Adaptive Compressive Sensing
Zhifu Tian
Tao Hu
Chaoyang Niu
Di Wu
Shu Wang
46
0
0
17 Mar 2025
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems
Eric Chen
Xi Chen
A. Maleki
S. Jalali
33
0
0
08 Jan 2025
ResVR: Joint Rescaling and Viewport Rendering of Omnidirectional Images
ResVR: Joint Rescaling and Viewport Rendering of Omnidirectional Images
Weiqi Li
Shijie Zhao
Bin Chen
Xinhua Cheng
Junli Li
Li Zhang
Jian Zhang
31
3
0
25 Apr 2024
Score-Based Diffusion Models as Principled Priors for Inverse Imaging
Score-Based Diffusion Models as Principled Priors for Inverse Imaging
Berthy T. Feng
Jamie Smith
Michael Rubinstein
Huiwen Chang
Katherine L. Bouman
William T. Freeman
DiffM
74
87
0
23 Apr 2023
Online Deep Equilibrium Learning for Regularization by Denoising
Online Deep Equilibrium Learning for Regularization by Denoising
Jiaming Liu
Xiaojian Xu
Weijie Gan
S. Shoushtari
Ulugbek S. Kamilov
24
26
0
25 May 2022
Denoising Diffusion Restoration Models
Denoising Diffusion Restoration Models
Bahjat Kawar
Michael Elad
Stefano Ermon
Jiaming Song
DiffM
204
774
0
27 Jan 2022
COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing
COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing
Di You
Jian Andrew Zhang
Jingfen Xie
Bin Chen
Siwei Ma
29
99
0
15 Jul 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
A new compressive video sensing framework for mobile broadcast
A new compressive video sensing framework for mobile broadcast
Chengbo Li
Hong Jiang
P. Wilford
Yin Zhang
M. Scheutzow
42
59
0
08 Feb 2013
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